Hunting for fraud with Benford's law in R
2022TL; DR
In this lightning talk I'll demonstrate how to apply the R implementation of Benford's law (which actually is not about crime or fraud) to identify possibly fraudulent invoice or other data.
Session Details
In this lightning talk I'll demonstrate how to apply the R implementation of Benford's law (which actually is not about crime and fraud) to identify possibly fraudulent invoice or other data.
Feedback link: https://sqlb.it/?6951
Feedback link: https://sqlb.it/?6951
3 things you'll get out of this session
Speakers
Thomas Hütter's other proposed sessions for 2026
Window functions in SQL Server - brush up your skills - 2026
Thomas Hütter's previous sessions
A journey through the Tidyverse
An introduction to the philosophy of tidy data and the collection of R packages called Tidyverse that help to treat your data appropriately. Including lots of demos from ingesting to cleaning to visualizing your data.
An R primer for SQL folks
A walk-through on what is possible analyzing your data with the "R" language.
50 ways to show your data
„A picture is worth a thousand words“ - compelling visualizations beyond the usual bar, line or scatter plots, produced with the help of the ggplot2 package and friends.